Al-Anood M. Al-Hajri
Papers
1
Total Citations
3
H-Index
1
About
Al-Anood M. Al-Hajri is a researcher at the forefront of human-robot interaction and workplace safety, with a focus on leveraging advanced computational models to prevent violence in industrial settings. Her most cited work, "Security robot for the prevention of workplace violence using the Non-linear Adaptive Heuristic Mathematical Model" (2021), addresses a critical mental health hazard in the era of Industry 4.0, where collaboration between humans and machines is rapidly expanding. By developing a novel mathematical framework, Al-Hajri tackles the pressing challenge of ensuring human-machine security, proposing a proactive approach to mitigate risks before they escalate. Though her citation count of 3 reflects the emerging nature of her contributions, her research is foundational for integrating adaptive algorithms into robotic systems to enhance safety protocols. Her work stands out for its interdisciplinary blend of robotics, mathematics, and occupational health, offering a scalable solution to a growing societal concern. Al-Hajri’s efforts signal a promising trajectory in creating safer, more intelligent work environments, making her a notable voice in the field of industrial robotics and safety engineering.
Research Focus
Key Achievements
Top Papers
- 1